International Journal of Engineering and Management Research (IJEMR)
Year : 2017, Volume : 7, Issue : 4
First page : ( 70) Last page : ( 74)
Print ISSN : 2394-6962. Online ISSN : 2250-0758.

Mechanized Health Service using Big Data Technology

Sreevani G.

Department of CSE, CMR College of Engineering & Technology, Hyderabad, India

Online published on 31 October, 2017.

Abstract

Generally Mechanical plays an important role in the global economy and in daily experience. The Healthcare Management System is an Mechanical system that is used to manage patient information and its administration Work. In existing system the challenges which are performing in large scale estimate is difficult. To work with this it requires large volume of data for distributing the parts of the problem to multiple machines to handle it in parallel. Any moment multiple machines are used in cooperation with one another, the prospect of failures rises. In a single machine environment, failure is not something that program designers undeniably worry about very often: if the machine has crashed, then there is no way for the program to recover. This paper inscription the problem of data quality in electronic patient records using a computerized patient records report system with Apache HIVE and abstraction of Map reduce of big data technology. We analyzed which patient is spending more money than the others with the Map reduce. We got the data to be refined from traditional system to Hadoop via ETL's. We organized this with Oozie scheduler in Hadoop. The data what you are going to analyze is an semi structured data. Beside uploading their data to a cluster anyone can access them again provided them they got to be in the cluster and can also use virtual machines that contain the right software to analyze them without any need for reformation.

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Keywords

AHMS, Oozie, HIVE, Map reduce, ETLs, Hadoop.

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